SydneyBioX/CellSPA

Stars
4
Rank 3,304,323 (Top 66 %)
Language
R
Created over 1 year ago
Updated 12 months ago

SydneyBioX/CellSPA

SydneyBioX

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Cell Segmentation Performance Assessment

scMerge

Statistical approach for removing unwanted variation from multiple single-cell datasets

scJoint

Jupyter Notebook

BIDCell

Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data

CiteFuse

scClassify

Hierarchical classification of cells

MoleculeExperiment

SimBench

scFeatures

scReClassify

Post hoc cell type classification of single-cell RNA-sequencing data.

spicyR

scDC

SurvBenchmark

scTIE

Jupyter Notebook

spicyWorkflow

Perform spatial analysis of in situ cytometry data in R

hRUV

lisaClust

GHIST

scdney

RNASeq

Pipelines for processing RNASeq and scRNAseq data

scREMOTE

scREMOTE: a single cell REprogramming Model Through CREs

StatialBioc2023

Unlocking-single-cell-spatial-omics-analyses-with-SCDNEY

CiteFuse2020Kim

tidy2019

Tidyverse workshop at BioinfoSummer 2019

eNODAL

scdneySpatialOmics_BIS22

BIS2019_SC

Single-Cell RNA-Seq workshop, Bioinformatics Summer 2019

BIS2019_IntroUnix

Bioinfosummer 2019 Unix workshop

BIS2019_PhosR

COVID_CCI_analysis

SimBenchData

localWorkshop

Workshop Slides and Website for Cross-validated Classification Workshop Held on 29 June 2018 in Sydney

WholeGenomeDNA

A set of scripts to process whole genome sequencing DNA data on a PBS Cluster

simpleSeg

scClassify_analysis

SC_CPC_workshop

CPC Single Cell Workshop, 04 Nov 2019

sc_bench_benchmark

Statial

scdneySpatialOmics_CPC23